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2. Forecasting oil prices. (2017). Filis, George ; Degiannakis, Stavros.
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3. Frequency aspects of information transmission in a network of three western equity markets. (2017). Schmidbauer, Harald ; Uluceviz, Erhan ; Rosch, Angi.
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5. Model and survey estimates of the term structure of US macroeconomic uncertainty. (2017). Galvão, Ana ; Clements, Michael ; Galvo, Ana Beatriz.
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9. On the use of high frequency measures of volatility in MIDAS regressions. (2016). Andreou, Elena.
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22. Point and Density Forecasts Using an Unrestricted Mixed-Frequency VAR Model. (2015). Barsoum, Fady.
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23. The State and the Future of Cyprus Macroeconomic Forecasting. (2015). Andreou, Elena ; Kourtellos, Andros.
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26. Do high-frequency financial data help forecast oil prices? The MIDAS touch at work. (2015). Kilian, Lutz ; Guérin, Pierre ; Baumeister, Christiane.
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30. Financialization of Agricultural Commodity Markets: Do Financial Data Help to Forecast Agricultural Prices?. (2015). Etienne, Xiaoli.
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31. MIDAS regressions with time-varying parameters: An application to corporate bond spreads and GDP in the Euro area. (2014). Schumacher, Christian.
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33. A MIXED FREQUENCY ANALYSIS OF CONNECTIONS BETWEEN MACROECONOMIC VARIABLES AND STOCK MARKETS IN CENTRAL AND EASTERN EUROPE. (2014). Lupu, Radu ; Calin, Adrian Cantemir.
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34. Combining distributions of real-time forecasts: An application to U.S. growth. (2014). Urbain, Jean-Pierre ; Hecq, Alain ; Götz, Thomas ; Gotz T. B., ; Urbain J. R. Y. J., ; Hecq A. W., .
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35. Simple Robust Tests for the Specification of High-Frequency Predictors of a Low-Frequency Series. (2014). Miller, J..
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36. Bayesian Stochastic Search for the Best Predictors: Nowcasting GDP Growth. (2014). Hess, Dieter ; Hautsch, Nikolaus.
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37. Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences. (2014). Potter, Simon ; Peach, Richard ; onorante, luca ; Alessi, Lucia ; Ghysels, Eric.
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38. Autoregressive augmentation of MIDAS regressions. (2014). Duarte, Cláudia.
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39. GDPNow: A Model for GDP Nowcasting. (2014). Higgins, Patrick.
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41. Markov-Switching Mixed-Frequency VAR Models. (2014). Marcellino, Massimiliano ; Guérin, Pierre ; Foroni, Claudia.
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42. Can we Automate Earnings Forecasts and Beat Analysts?. (2014). Ghysels, Eric ; Ball, Ryan ; Zhou, Huan.
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43. Density forecasts with MIDAS models. (2014). Ravazzolo, Francesco ; Foroni, Claudia ; Aastveit, Knut Are.
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44. Variable Selection in Predictive MIDAS Models. (2014). Marsilli, Clément.
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45. Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work. (2014). Kilian, Lutz ; Guérin, Pierre ; Baumeister, Christiane ; Guerin, Pierre .
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46. Do high-frequency financial data help forecast oil prices? The MIDAS touch at work. (2013). Kilian, Lutz ; Guérin, Pierre ; Baumeister, Christiane.
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47. Greece in Recession: Economic predictions, mispredictions and policy implications. (2013). Prodromidis, Prodromos ; Petralias, Athanassios ; Petros, Sotirios .
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48. Greece in recession: economic predictions, mispredictions and policy implications. (2013). Prodromidis, Prodromos ; Petralias, Athanassios ; Petros, Sotirios .
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49. Forecasting growth during the Great Recession: is financial volatility the missing ingredient?. (2013). Marsilli, Clément ; Ferrara, Laurent ; Ortega, J-P., .
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50. Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling. (2013). Ng, Serena ; Wright, Jonathan H..
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